The role of AI in drug discovery: challenges, opportunities, and strategies
A Blanco-Gonzalez, A Cabezon, A Seco-Gonzalez… - Pharmaceuticals, 2023 - mdpi.com
Artificial intelligence (AI) has the potential to revolutionize the drug discovery process,
offering improved efficiency, accuracy, and speed. However, the successful application of AI …
offering improved efficiency, accuracy, and speed. However, the successful application of AI …
[HTML][HTML] A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
Conventional drug discovery and development is tedious and time-taking process; because
of which it has failed to keep the required pace to mitigate threats and cater demands of viral …
of which it has failed to keep the required pace to mitigate threats and cater demands of viral …
A first computational frame for recognizing heparin-binding protein
W Zhu, SS Yuan, J Li, CB Huang, H Lin, B Liao - Diagnostics, 2023 - mdpi.com
Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …
neutrophils and an important biomarker of infectious diseases. The correct identification of …
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2
The outbreak of COVID-19 caused by SARS-coronavirus (CoV)-2 has made millions of
deaths since 2019. Although a variety of computational methods have been proposed to …
deaths since 2019. Although a variety of computational methods have been proposed to …
A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality
The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant
pandemic threat that is generating socio-economic and health issues in manifold countries …
pandemic threat that is generating socio-economic and health issues in manifold countries …
SARS-CoV-2 vaccines, vaccine development technologies, and significant efforts in vaccine development during the pandemic: the lessons learned might help to fight …
We are currently approaching three years since the beginning of the coronavirus disease
2019 (COVID-19) pandemic. SARS-CoV-2 has caused extensive disruptions in everyday …
2019 (COVID-19) pandemic. SARS-CoV-2 has caused extensive disruptions in everyday …
A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery
SJ Goodswen, PJ Kennedy… - FEMS Microbiology …, 2023 - academic.oup.com
Reverse vaccinology (RV) was described at its inception in 2000 as an in silico process that
starts from the genomic sequence of the pathogen and ends with a list of potential protein …
starts from the genomic sequence of the pathogen and ends with a list of potential protein …
Attention is all you need: utilizing attention in AI-enabled drug discovery
Recently, attention mechanism and derived models have gained significant traction in drug
development due to their outstanding performance and interpretability in handling complex …
development due to their outstanding performance and interpretability in handling complex …
Emerging applications of machine learning in genomic medicine and healthcare
The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …
and genomic medicine in recent years. The significant increase in computing power has …
A generative approach to materials discovery, design, and optimization
D Menon, R Ranganathan - ACS omega, 2022 - ACS Publications
Despite its potential to transform society, materials research suffers from a major drawback:
its long research timeline. Recently, machine-learning techniques have emerged as a viable …
its long research timeline. Recently, machine-learning techniques have emerged as a viable …